5,028 research outputs found
Enhancing Mobility Applications Through Bluetooth Communications
In the world of short and medium-range wireless technologies, Bluetooth has recently come to the
forefront of innovation. Within the next five years its market presence, especially in its Low Energy
variation, is expected to nearly double across all market segments. The technology is quickly and
steadily gaining importance for a wide range of applications with a specific focus on Internet of Things
(IoT) devices. The growing availability and variety of such devices constitute an untapped potential
that we plan on exploiting. Our focus in this thesis is to understand Bluetooth’s capabilities and
explore its potential in mobile contexts. One specific field where this technology remains unexplored
is Vehicular Ad Hoc Networks (VANETs). Because of the need to implement and moderate vehicular
communications, the topic of Intelligent Transportation Systems (ITSs) is now trending more than
ever.
In this thesis we propose two ways we can benefit from Bluetooth in a mobile environment. Firstly,
we consider the technology as a communication medium to investigate how di↵erent mobilities a↵ect
the link performance between two devices. To do this, we define a set of communication experiments,
in our case between two vehicles, to analyse how Bluetooth Low Energy (BLE) is a↵ected by varying
speed, distance and traffic conditions. We find that the maximum communication range between two
devices can go beyond 100m and that a robust connection, capable of handling sudden signal losses
or interference, can be achieved up to a distance of 50m. The experiments were conducted using a
proof-of-concept mobile application for o↵-the-shelf smartphones that can be used to transmit data
over multiple hops in various Vehicle-to-Everything (V2X) scenarios.
Secondly, we consider Bluetooth discovery capabilities as an information medium by using a connectionless
approach to analyse di↵erent mobility frameworks. As there is an increasing need for
vehicles and objects to become aware of their context, we implement Bluetooth as a sensing system to
provide contextual information about its surroundings. Our challenge is to find out to what extent we
can exploit the Bluetooth discovery and beaconing scheme for this purpose. We collect and analyse
a dataset of Bluetooth Classic and BLE discoveries and evaluate their respective characteristics and
ability to provide context-aware information from a vehicular perspective. By examining data recorded
about encountered devices, such as quantity, quality of signal and device class information, we infer
distinctive Bluetooth behaviours related to context and application. For this purpose, we propose a
set a features to train a classification model to recognize di↵erent driving environments (i.e. road
classes). Investigating the performance of our classifier, we were able to predict up to three classes
(highway, city, extra-urban) by using only Bluetooth discovery data and no geographical information.
This outcome gives promising results targeted at low energy and privacy-friendly applications and can
open up a wide range of research directions.
In conclusion, in this thesis we present two ways of applying Bluetooth to mobile contexts for
deploying novel human mobility applications
On Mobile Bluetooth Tags
This paper presents a new approach for hyper-local data sharing and delivery
on the base of discoverable Bluetooth nodes. Our approach allows customers to
associate user-defined data with network nodes and use a special mobile
application (context-aware browser) for presenting this information to mobile
users in proximity. Alternatively, mobile services can request and share local
data in M2M applications rely on network proximity. Bluetooth nodes in cars are
among the best candidates for the role of the bearing nodes.Comment: submitted to FRUCT-17 conference (http://fruct.org
Wearable Communications in 5G: Challenges and Enabling Technologies
As wearable devices become more ingrained in our daily lives, traditional
communication networks primarily designed for human being-oriented applications
are facing tremendous challenges. The upcoming 5G wireless system aims to
support unprecedented high capacity, low latency, and massive connectivity. In
this article, we evaluate key challenges in wearable communications. A
cloud/edge communication architecture that integrates the cloud radio access
network, software defined network, device to device communications, and
cloud/edge technologies is presented. Computation offloading enabled by this
multi-layer communications architecture can offload computation-excessive and
latency-stringent applications to nearby devices through device to device
communications or to nearby edge nodes through cellular or other wireless
technologies. Critical issues faced by wearable communications such as short
battery life, limited computing capability, and stringent latency can be
greatly alleviated by this cloud/edge architecture. Together with the presented
architecture, current transmission and networking technologies, including
non-orthogonal multiple access, mobile edge computing, and energy harvesting,
can greatly enhance the performance of wearable communication in terms of
spectral efficiency, energy efficiency, latency, and connectivity.Comment: This work has been accepted by IEEE Vehicular Technology Magazin
SymbioCity: Smart Cities for Smarter Networks
The "Smart City" (SC) concept revolves around the idea of embodying
cutting-edge ICT solutions in the very fabric of future cities, in order to
offer new and better services to citizens while lowering the city management
costs, both in monetary, social, and environmental terms. In this framework,
communication technologies are perceived as subservient to the SC services,
providing the means to collect and process the data needed to make the services
function. In this paper, we propose a new vision in which technology and SC
services are designed to take advantage of each other in a symbiotic manner.
According to this new paradigm, which we call "SymbioCity", SC services can
indeed be exploited to improve the performance of the same communication
systems that provide them with data. Suggestive examples of this symbiotic
ecosystem are discussed in the paper. The dissertation is then substantiated in
a proof-of-concept case study, where we show how the traffic monitoring service
provided by the London Smart City initiative can be used to predict the density
of users in a certain zone and optimize the cellular service in that area.Comment: 14 pages, submitted for publication to ETT Transactions on Emerging
Telecommunications Technologie
VANET Applications: Hot Use Cases
Current challenges of car manufacturers are to make roads safe, to achieve
free flowing traffic with few congestions, and to reduce pollution by an
effective fuel use. To reach these goals, many improvements are performed
in-car, but more and more approaches rely on connected cars with communication
capabilities between cars, with an infrastructure, or with IoT devices.
Monitoring and coordinating vehicles allow then to compute intelligent ways of
transportation. Connected cars have introduced a new way of thinking cars - not
only as a mean for a driver to go from A to B, but as smart cars - a user
extension like the smartphone today. In this report, we introduce concepts and
specific vocabulary in order to classify current innovations or ideas on the
emerging topic of smart car. We present a graphical categorization showing this
evolution in function of the societal evolution. Different perspectives are
adopted: a vehicle-centric view, a vehicle-network view, and a user-centric
view; described by simple and complex use-cases and illustrated by a list of
emerging and current projects from the academic and industrial worlds. We
identified an empty space in innovation between the user and his car:
paradoxically even if they are both in interaction, they are separated through
different application uses. Future challenge is to interlace social concerns of
the user within an intelligent and efficient driving
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